DATA MODELING FUNDAMENTALS (P12) docx

... partially normalized. DIMENSIONAL MODELING 319 Data Modeling for OLAP In order to perform data modeling for OLAP, let us first examine some significant charac- teristics of data in such a system. Review ... loads data into the MDDB from the main data warehouse. Users who can use summarized data enjoy fast response times from the consolidated data. ROLAP. In this model, data...

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... true for data modeling as well? Why emphasize quality in data modeling separately? There are some special reasons. The concepts of data modeling are not that easy to comprehend. Data modeling ... overwhelming significance of data modeling. A data modeling effort pre- cedes every database implementation. However, what we see in practice is a number of 347 Data Modeling...

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... your organization. EVOLUTIONARY DATA MODELING Evolutionary data modeling is a key for the adoption of agile modeling principles and practices. Evolutionary modeling allows for the creation of the data model in ... adjustments. Philosophies The agile data (AD) method applies to all activities relating to data modeling and design of the database system. The agile principles...

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... Modeling Principles / 34 Data Modeling Approaches and Trends / 35 Data Modeling Approaches / 36 Modeling for Data Warehouse / 38 vii DATA MODELING FUNDAMENTALS DATA MODELING FUNDAMENTALS A Practical ... INTRODUCTION TO DATA MODELING 1 1 Data Modeling: An Overview 3 Chapter Objectives / 3 Data Model Defined / 4 What Is a Data Model? / 5 Why Data Modeling?...

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... an external data model. INFORMATION LEVELS 13 storage. So, who performs data modeling? Data modeling specialists with appropriate training, knowledge, and skills do the work of data modeling. However, ... ideas with particular emphasis on data modeling. Where does data modeling fit in the whole process? What purposes does it serve and what is its significance? Data modeli...

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... of data models: external data model, conceptual data model, logical data model, and physical data model. We also reasoned out the need for these four types of data models. The four types of data ... group. Logical Data Model. The logical data model brings data modeling closer to implemen- tation. Here the type of database system to be implemented has a bearing on the con...

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... a logical data model. In our case, the relational data model is the logical data model. Note the following major components of a conceptual data model and a relational data model. E-R Data Model Entity ... DETAIL CHAPTER SUMMARY . Data models created at the four information levels in an organization: external data model, conceptual data model, logical data model, and physi...

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... relationship, in a conceptual data model diagram you can show these two entity types and mark their relationship as many-to-many. In a data model at the con- ceptual data model, expressing many-to-many ... time-dependent data elements and that your data model must include historical entity types to keep track of the changes. Figure 4-29 indicates how historical entity types are incl...

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... in a data model. We reviewed key attributes in sufficient depth. During the data modeling process, at each stage, you need to check the data model for completeness and correctness. Data modeling ... attributes of the business object ORDER. So, the data values you find stored in the database are values of the attributes of the 157 Data Modeling Fundamentals. By Paulraj Ponniah...

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... Data Modeling course. Irrespective of this association, the instance of INSTRUCTOR, namely, Kassia Silverton, will exist in the database. In the same manner, the instance of COURSE, namely, Data ... be faced with in your data modeling projects. Study each issue carefully, understand the exact nature of the issue, and then explore the options to be applied in your data modeling e...

Ngày tải lên: 07/07/2014, 09:20